Computational drug repositioning through heterogeneous network clustering
Published 2013 View Full Article
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Title
Computational drug repositioning through heterogeneous network clustering
Authors
Keywords
Heterogeneous Network, Graph Cluster, Hidradenitis Suppurativa, Vismodegib, Mouse Phenotype
Journal
BMC Systems Biology
Volume 7, Issue Suppl 5, Pages S6
Publisher
Springer Nature
Online
2013-12-09
DOI
10.1186/1752-0509-7-s5-s6
References
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- (2012) Aleksandar Sekulic et al. NEW ENGLAND JOURNAL OF MEDICINE
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- (2012) Miquel Duran-Frigola et al. Genome Medicine
- Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference
- (2012) Feixiong Cheng et al. PLoS Computational Biology
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- (2012) SRIGANESH SRIHARI et al. Journal of Bioinformatics and Computational Biology
- The Orphan Disease Networks
- (2011) Minlu Zhang et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Drug repositioning for orphan diseases
- (2011) D. Sardana et al. BRIEFINGS IN BIOINFORMATICS
- Exploiting drug-disease relationships for computational drug repositioning
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- (2011) J. T. Dudley et al. Science Translational Medicine
- Discovery and Preclinical Validation of Drug Indications Using Compendia of Public Gene Expression Data
- (2011) M. Sirota et al. Science Translational Medicine
- Discovery of drug mode of action and drug repositioning from transcriptional responses
- (2010) F. Iorio et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- -Secretase and Human Disease
- (2010) R. J. Kelleher et al. SCIENCE
- -Secretase Gene Mutations in Familial Acne Inversa
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- (2010) Albert Pujol et al. TRENDS IN PHARMACOLOGICAL SCIENCES
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- (2009) Randall J. Bateman et al. ANNALS OF NEUROLOGY
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- Predicting new molecular targets for known drugs
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- (2008) M. Campillos et al. SCIENCE
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